Integrated Multi-omics Data for Personalized Treatment of Obesity-associated Fatty Liver Disease

The investigators seek to analyze the samples provided by patients with obesity-associated fatty liver disease at the multi-omics level and to integrate the results with clinical information, genotypic variants, and factors influencing inter-organ crosstalk. The main aim is to improve the interpretation of fatty liver disease associated with obesity and diabetes by developing predictive models built with algorithms from artificial intelligence. The challenge is to decipher the flow of information by exploring contributing factors, proximate causes of regulatory defects, and maladaptive responses that may promote therapeutic approaches.

NCT Number	NCT05554224
Lead Sponsor	Institut Investigacio Sanitaria Pere Virgili Collaborators: Hospital Universitari Sant Joan, La Caixa Foundation, Instituto de Salud Carlos III, University of Barcelona
Conditions	NAFLD, Obesity, Morbid, Comorbidities and Coexisting Conditions
Enrollment	1,104 participants
Start Date	2008-06-25
Primary Completion	2028-12-31 (estimated)
Study Completion	2028-12-31 (estimated)
Updated on ClinicalTrials.gov	2024-11-13